plot_functions: Plots the charging function, the electricity price function...

In EVchargcost: Computes and Plot the Optimal Charging Strategy for Electric Vehicles

Plots the charging function, the electricity price function and the optimal cost function

Description

Function that plots the charging function, the electricity price function and the optimal cost function

Usage

plot_functions(a, alpha, beta, delta, gamma, tau, R, x_values, y_values)

Arguments

a	vector with the breaking points of charging function in the x-axis
alpha	vector with the slopes of the charging function on each segment
beta	vector with the y-intercepts of the charging function on each segment
delta	vector with the times duration of each segment of electricity price function
gamma	vector with the prices of the electricity on each segment of electricity price function
tau	consumption of the vehicle (numerical value)
R	range of the vehicle (numerical value)
x_values	vector with the x-values of the breaking points of the charging cost function
y_values	vector with the y-values of the breaking points of the charging cost function

Value

A plot with the charging function, the electricity price function and the optimal cost function

Examples

a <- c(0,3.3,6.6,10)
alpha <- c(0.1757576, 0.07272727, 0.05294118)
beta <- c(0, 0.34, 0.4705882)
delta <- c(4, 3, 5)
gamma <- c(0.45, 0.25, 0.5)
tau <- 0.15
R <- 250
opt_cost_function = minimum_cost(a, alpha, beta, delta, gamma, tau, R)
xvalues <- opt_cost_function[["xvalues"]]
yvalues <- opt_cost_function[["yvalues"]]
plot_functions(a, alpha, beta, delta, gamma, tau, R, xvalues, yvalues)

EVchargcost documentation built on May 29, 2024, 8:29 a.m.